What question did this study set out to answer?

Develop an econometric framework for analysis of covariance that accounts for unobserved individual heterogeneity when outcome variables are qualitative or discrete.

January 1, 1980The Review of Economic Studies

Analysis of Covariance with Qualitative Data

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Authors

GCGary ChamberlainInstitute for Fiscal Studies

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Implication

Methodological analysis establishes conditional likelihood estimation for qualitative panel data, highlighting consistent parameter recovery in fixed effects models.

Key Points

Develop an econometric framework for analysis of covariance that accounts for unobserved individual heterogeneity when outcome variables are qualitative or discrete.
Formulates conditional maximum likelihood estimators for binary and multinomial panel data with individual-specific fixed effects.
Derives sufficient statistics to condition out nuisance parameters in short-panel (fixed-T, large-N) settings.
Demonstrates that standard maximum likelihood estimators yield inconsistent estimates due to the incidental parameters problem in non-linear panel models.
Shows that conditioning on minimum sufficient statistics enables consistent estimation of structural parameters without specifying the distribution of individual effects.

Cite This Study

Gary Chamberlain (1980) studied this question.

synapsesocial.com/papers/69dd44d57808b00a4799bf06 https://doi.org/10.2307/2297110

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Implication

Methodological analysis establishes conditional likelihood estimation for qualitative panel data, highlighting consistent parameter recovery in fixed effects models.

Analysis of Covariance with Qualitative Data

Discussion

Member takes

Implication

Key Points

Cite This Study

Analysis of Covariance with Qualitative Data

Discussion

Member takes

Implication

Key Points

Cite This Study

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